INDIVIDUAL MCP TOOL

pubcom_watch_search

Search e-Gov public-comment notices.

mcp-revenue-empire.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.mcp-revenue-empire.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for pubcom_watch_search and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.mcp-rs-phase1-mcp]
url = "https://mcp.mcp-revenue-empire.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "mcp-rs-phase1-mcp": {
      "type": "http",
      "url": "https://mcp.mcp-revenue-empire.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: mcp-rs-phase1-mcp
Remote MCP URL: https://mcp.mcp-revenue-empire.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-rs-phase1-mcp": {
      "url": "https://mcp.mcp-revenue-empire.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "mcp-rs-phase1-mcp": {
      "type": "http",
      "url": "https://mcp.mcp-revenue-empire.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "mcp-rs-phase1-mcp",
  "transport": "streamable-http",
  "url": "https://mcp.mcp-revenue-empire.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

verify_receipt — Verify a provenance receipt (F-037): recomputes the HMAC signature, checks the intra-receipt chain linkage, and — when the receipt carries an external anchor reference — confirms it against the published F-028 anchor.
agent_memory_store — Store a memory for an AI agent (key-value, with TTL and metadata)
agent_memory_get — Retrieve a stored memory by key
agent_memory_search — Search memories by prefix, tags, or type
agent_memory_delete — Delete a memory or all memories in a namespace
agent_audit_record — Record an agent action for audit and compliance
agent_audit_query — Query agent actions with filters
agent_audit_report — Generate audit report (json/markdown/soc2 format)